class_docstr: DatasetBuilder for ogbg_molpcba dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      # Download the original data.
      path = dl_manager.download_and_extract(_DOWNLOAD_URL)
  
      # Read the extracted data.
      data_path = path / "pcba/raw"
      split_path = path / "pcba/split/scaffold"
      all_data, split_indices = _read_extracted_data(
          data_path, split_path
      )
  
      # Return a list of the train/validation/test split generators.
      return {
          tfds.Split.TRAIN: self._generate_examples(
              all_data, split_indices["train"]
          ),
          tfds.Split.VALIDATION: self._generate_examples(
              all_data, split_indices["valid"]
          ),
          tfds.Split.TEST: self._generate_examples(
              all_data, split_indices["test"]
          ),
      }
  
file_path: datasets/tensorflow_datasets/datasets/ogbg_molpcba/ogbg_molpcba_dataset_builder.py
imports: from typing import Dict, Text, Tuple
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict